The preschool boost
Research using a Boston admissions lottery adds evidence that early education has long-term benefits.

Children who attend preschool at age four are significantly more likely to go to college, according to an empirical study led by MIT economist Parag Pathak.
To conduct the study, Pathak and his colleagues followed more than 4,000 students who took part from 1997 to 2003 in a lottery the Boston public school system conducted to allocate a limited number of preschool slots.
The lottery created a natural experiment, allowing the researchers to track the educational outcomes of two otherwise similar groups of students when one group attended preschool while the other did not. In decades of research on preschool programs, this approach has rarely been applied.
The result: among students of similar backgrounds, those who did attend preschool were 8.3 percentage points more likely to enroll in college right after high school. There was also a 5.4-percentage-point increase in college attendance at any time.
“It’s a pretty large effect,” says Pathak. “It’s fairly rare to find school-based interventions that have effects of this magnitude.”
The study did not find a connection between preschool and higher scores on Massachusetts’s standardized tests. But it did find that children who attended had fewer behavioral issues later on, including fewer suspensions, less absenteeism, and fewer legal-system problems.
Indeed, the study’s findings suggest that beyond academic benefits, preschool-goers may learn behavioral habits that keep them out of trouble. “If I had to speculate what’s behind these long-term effects for college, this is our leading hypothesis,” says Pathak.
“There are probably two broader lessons,” he says. “We cannot judge the effectiveness of early-childhood interventions by just looking at short-run outcomes, stopping by third grade. You’d get a totally misleading picture of Boston’s program if you did that. The second is that I think it’s really critical to measure outcomes beyond test scores
Keep Reading
Most Popular
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
The Biggest Questions: What is death?
New neuroscience is challenging our understanding of the dying process—bringing opportunities for the living.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
How to fix the internet
If we want online discourse to improve, we need to move beyond the big platforms.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.